Data Analyst (Personalization, AI)

TL;DR

Data Analyst (Personalization, AI): Establishing analytical foundations, tools, and processes for measuring the impact of ML models and product features with an accent on defining success, uncovering insights, and influencing roadmap decisions through data. Focus on understanding shopper behavior, designing and validating metrics, and building scalable analytics infrastructure for product search and discovery.

Location: Remote

Company

hirify.global.io powers product search and discovery for some of the largest retailers in the world, serving billions of requests weekly and doubling year over year by reinventing search and discovery as a machine learning challenge to improve metrics like revenue.

What you will do

• Investigate shopper behavior to understand how product changes affect user behavior and conversion metrics using SQL, Python, and Spark.
• Define and validate new metrics to measure personalization and model performance, ensuring alignment with user experience and business goals.
• Create scalable dashboards and reporting tools for various teams and develop debugging tools to explain ranking decisions.
• Partner cross-functionally to design experiments, validate hypotheses, and communicate insights to influence product roadmap and ML strategy.

Requirements

• 3+ years analyzing complex experiments and extracting actionable insights from large, noisy datasets, with experience in statistical testing and experiment design.
• Proficiency in writing optimized SQL queries for terabyte-scale data and using distributed systems like Spark.
• Strong skills in exploratory analysis, building internal tools, and experience with data science libraries.
• Understanding of ML pipelines, training data quality, and ranking/recommendation metrics, with familiarity in search relevance and personalization.
• Ability to design metrics that accurately reflect model and product performance and align technical metrics with business outcomes.
• Experience creating compelling dashboards using Tableau, Looker, or Python, and presenting complex findings clearly to diverse audiences.

Culture & Benefits

• Paid Time Off
• Work From Home
• Training & Development